diff --git a/examples/basic/lifecycle_example.py b/examples/basic/lifecycle_example.py
index 9b365106..285bfecd 100644
--- a/examples/basic/lifecycle_example.py
+++ b/examples/basic/lifecycle_example.py
@@ -79,7 +79,7 @@ class FinalResult(BaseModel):
 
 start_agent = Agent(
     name="Start Agent",
-    instructions="Generate a random number. If it's even, stop. If it's odd, hand off to the multipler agent.",
+    instructions="Generate a random number. If it's even, stop. If it's odd, hand off to the multiplier agent.",
     tools=[random_number],
     output_type=FinalResult,
     handoffs=[multiply_agent],
diff --git a/examples/research_bot/agents/search_agent.py b/examples/research_bot/agents/search_agent.py
index 72cbc8e1..f69cfda8 100644
--- a/examples/research_bot/agents/search_agent.py
+++ b/examples/research_bot/agents/search_agent.py
@@ -4,7 +4,7 @@
 INSTRUCTIONS = (
     "You are a research assistant. Given a search term, you search the web for that term and"
     "produce a concise summary of the results. The summary must 2-3 paragraphs and less than 300"
-    "words. Capture the main points. Write succintly, no need to have complete sentences or good"
+    "words. Capture the main points. Write succinctly, no need to have complete sentences or good"
     "grammar. This will be consumed by someone synthesizing a report, so its vital you capture the"
     "essence and ignore any fluff. Do not include any additional commentary other than the summary"
     "itself."
diff --git a/src/agents/models/openai_chatcompletions.py b/src/agents/models/openai_chatcompletions.py
index 7fe981e8..8c649813 100644
--- a/src/agents/models/openai_chatcompletions.py
+++ b/src/agents/models/openai_chatcompletions.py
@@ -757,7 +757,7 @@ def extract_all_content(
             elif isinstance(c, dict) and c.get("type") == "input_file":
                 raise UserError(f"File uploads are not supported for chat completions {c}")
             else:
-                raise UserError(f"Unknonw content: {c}")
+                raise UserError(f"Unknown content: {c}")
         return out
 
     @classmethod
diff --git a/src/agents/models/openai_responses.py b/src/agents/models/openai_responses.py
index 78765ecb..3eea39ce 100644
--- a/src/agents/models/openai_responses.py
+++ b/src/agents/models/openai_responses.py
@@ -83,7 +83,7 @@ async def get_response(
                 )
 
                 if _debug.DONT_LOG_MODEL_DATA:
-                    logger.debug("LLM responsed")
+                    logger.debug("LLM responded")
                 else:
                     logger.debug(
                         "LLM resp:\n"
diff --git a/tests/test_agent_runner_streamed.py b/tests/test_agent_runner_streamed.py
index 4c7c7efd..87a76a70 100644
--- a/tests/test_agent_runner_streamed.py
+++ b/tests/test_agent_runner_streamed.py
@@ -674,7 +674,7 @@ async def test_streaming_events():
     total_expected_item_count = sum(expected_item_type_map.values())
 
     assert event_counts["run_item_stream_event"] == total_expected_item_count, (
-        f"Expectd {total_expected_item_count} events, got {event_counts['run_item_stream_event']}"
+        f"Expected {total_expected_item_count} events, got {event_counts['run_item_stream_event']}"
         f"Expected events were: {expected_item_type_map}, got {event_counts}"
     )
 
diff --git a/tests/test_global_hooks.py b/tests/test_global_hooks.py
index 6ac35b90..45854410 100644
--- a/tests/test_global_hooks.py
+++ b/tests/test_global_hooks.py
@@ -223,7 +223,7 @@ class Foo(TypedDict):
 
 
 @pytest.mark.asyncio
-async def test_structed_output_non_streamed_agent_hooks():
+async def test_structured_output_non_streamed_agent_hooks():
     hooks = RunHooksForTests()
     model = FakeModel()
     agent_1 = Agent(name="test_1", model=model)
@@ -296,7 +296,7 @@ async def test_structed_output_non_streamed_agent_hooks():
 
 
 @pytest.mark.asyncio
-async def test_structed_output_streamed_agent_hooks():
+async def test_structured_output_streamed_agent_hooks():
     hooks = RunHooksForTests()
     model = FakeModel()
     agent_1 = Agent(name="test_1", model=model)